Effects of lean interventions supported by digital technologies on healthcare services: a systematic review
Despite the increasing utilization of lean practices and digital technologies (DTs) related to
Industry 4.0, the impact of such dual interventions on healthcare services remains unclear …
Industry 4.0, the impact of such dual interventions on healthcare services remains unclear …
Federated learning from small datasets
Federated learning allows multiple parties to collaboratively train a joint model without
sharing local data. This enables applications of machine learning in settings of inherently …
sharing local data. This enables applications of machine learning in settings of inherently …
[HTML][HTML] Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques
The surface electromyography (sEMG) signal is a complex interference pattern resulting
from the electrical activity of contracting muscles, which directly correlates with muscle …
from the electrical activity of contracting muscles, which directly correlates with muscle …
A proposed application for controlling overweight and obesity within the framework of the internet of things
R Alturki, AI Alharbi, SS AlQahtani… - Mobile Information …, 2021 - Wiley Online Library
Currently, overweight and obesity are two problems for global health that affect people's
quality of life. The Internet of Things (IoT) has raised the possibility of digital interaction taken …
quality of life. The Internet of Things (IoT) has raised the possibility of digital interaction taken …
Evaluation of Machine Learning-Based Regression Techniques for Prediction of Diabetes Levels Fluctuations
B Alkalifah, MT Shaheen, J Alotibi, T Alsubait… - Heliyon, 2024 - cell.com
Abstract Middle-Aged and Elderly people today face a variety of health problems as a result
of their modern lifestyle, which includes increased work stress, less physical activity, and …
of their modern lifestyle, which includes increased work stress, less physical activity, and …
Advancing Sustainable Healthcare through Enhanced Therapeutic Communication with Elderly Patients in the Kingdom of Saudi Arabia
Effective communication in nursing, particularly with older patients, is critical to providing
high-quality care. The purpose of this research is to fill key gaps in the existing literature by …
high-quality care. The purpose of this research is to fill key gaps in the existing literature by …
Vibrating Particles System Algorithm for Solving Classification Problems
Big data is a term that refers to a set of data that, due to its largeness or complexity, cannot
be stored or processed with one of the usual tools or applications for data management, and …
be stored or processed with one of the usual tools or applications for data management, and …
Modelling of biosignal based decision making model for intracranial haemorrhage diagnosis in IoT environment
In recent times, the Internet of Things (IoT) in healthcare is a novel and promising emerging
area that offers a number of benefits to users and healthcare professionals, enabling real …
area that offers a number of benefits to users and healthcare professionals, enabling real …
[PDF][PDF] Using Deep Learning to Recognize Fake Faces.
In recent times, many fake faces have been created using deep learning and machine
learning. Most fake faces made with deep learning are referred to as “deepfake photos.” Our …
learning. Most fake faces made with deep learning are referred to as “deepfake photos.” Our …
A comparative study on biomedical processing techniques
C Sharma, N Thakur, B Kaur, D Bhatia - AIP Conference Proceedings, 2023 - pubs.aip.org
The analysis of digital/analog signals with the objective of measuring, reconstructing,
improving quality, compressing and recognizing patterns is signal processing. Various …
improving quality, compressing and recognizing patterns is signal processing. Various …